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You can easily crack your interview by this collected list of Top MNCs Selenium Interview Questions, Accenture Selenium Interview Questions Amazon Selenium Interview Questions Altimetrik Selenium Interview Questions Aspire Selenium Interview Questions Bank of America Selenium Interview Questions CSC Selenium Interview Questions CSS Corp Selenium Interview Questions CTS Selenium Interview Questions Dell Selenium Interview Questions L&T Selenium Interview Questions Photon Infotech Selenium Interview Questions T ech Mahindra Selenium Interview Questions Virtusa Selenium Interview Questions Wipro Selenium Interview Questions Xerago Selenium Interview Questions Top 100 Selenium Interview Questions and Answers Please contact us at +91- 9884412301 / 9600112302 to join our Selenium Certification Course with placements. Search Tags: selenium training | top selenium training in chennai | selenium placement training in chennai | selenium training in c...

Hello Everyone, Please make use of this Top 50 Manual Testing Interview Questions and Answers to crack the interview easily, 1.What is Software Testing? Software testing is the process of evaluating a system to check if it satisfies its business requirements. It measures the overall quality of the system in terms of attributes like correctness, completeness, usability, performance etc. Basically, it is used for ensuring the quality of software to the stakeholders of the application. 2.What are Verification And Validation? Verification: process of evaluating work-products of a development phase to determine whether they meet the specified requirements for that phase. Validation: process of evaluating software during or at the end of the development process to determine whether it specified requirements. Difference between Verification and Validation: •Verification is Static Testing where as Validations is Dynamic Testing. •Verification takes place before validation. •Ve...

Hello Everyone, Please make use of these handpicked Top 100 AWS Interview Questions & Answers to crack your interviews easily. 1.What is AWS ? AWS attains as Amazon Web Service ; this is a gathering of remote computing settings also identified as cloud computing policies. This unique realm of cloud computing is also recognized as IaaS or Infrastructure as a Service. 2. What are the key components of AWS ? The fundamental elements of AWS are Route 53: A DNS web service *Easy E-mail Service: It permits addressing e-mail utilizing RESTFUL API request or through normal SMTP *Identity and Access Management: It gives heightened protection and identity control for your AWS account *Simple Storage Device or (S3): It is a warehouse equipment and the well-known widely utilized AWS service *Elastic Compute Cloud (EC2): It affords on-demand computing sources for hosting purposes. It is extremely valuable in trouble of variable workloads *Elastic Block Store (EBS): It pr...

1.Which type of language is Python ? Interpreted or Compiled ? Python is an interpreted, interactive, object­ oriented programming language.Python is an interpreted language, as opposed to a compiled one, though the distinction can be blurry because of the presence of the bytecode compiler. This means that source files can be run directly without explicitly creating an executable which is then run. 2. What do you mean by python being an “interpreted language”? An interpreted languageis a programming language for which most of its implementations execute instructions directly, without previously compiling a program into machine­languageinstructions. In context of Python , it means that Python program runs directly from the source code. 3. What is python ’s standard way of identifying a block of code? Please provide an example implementation of a function called “my_func” that returns the square of a given variable “x”. (Continues from previous question) ...

In my last Blogs we have discussed about What is Big data hadoop and its jobs ? Apache Spark and Introduction of Apache Spark SQL .Now in this blog we will discussed about the basic frame work of Hadoop. So lets gets started. Frameworks: Hadoop : Hadoop is basically a software library written in java. It is used for processing large amount of data in distributed environment, which allows developers to setup clusters of computers starting with a single node that can scale up to thousand of nodes. HIVE Hive is data warehousing framework that's built on Hadoop. It allows for structuring data and querying using a language like SQL called HiveQL. Developers can use Hive and HiveQL to write complex MapReduce over structured data in a distributed file system. Hive is the closest thing to a relational-database in the Hadoop ecosystem. PIG Pig is an application for transforming large data sets. Like Hive, Pig has its own language called pig-latin. Pig Latin allows devel...

The Big Data Hadoop market is undergoing gigantic evolution. Big Data & Hadoop skills could be the transformation between your current career & your dream career. I would say, now is the right time to gain knowledge of hadoop and give a boost to your carrier. GATEWAY TO BIG DATA TECHNOLOGIES  Hadoop has become a priority for Big Data analytics and has been adopted by large number of companies. Typically, beside Hadoop, a Big Data solution strategy involves multiple technologies in a tailored manner. So, it is essential for one to not only learn Hadoop but become expert on other Big Data technologies falling under the Hadoop ecosystem. This will help you to further boost your Big Data career and grab elite roles like Big Data Architect, Data Scientist etc. But for all of this you need to learn Hadoop as it is the best option for moving into Big Data domain.  DIFFERENT HADOOP AND BIG DATA JOB OPTIONS(PROFILES) There are various job profiles in Hadoop ...

Spark SQL is Spark’s interface for working with structured and semi-structured data. Structured data is considered any data that has a schema such as JSON, Hive Tables, Parquet.  Schema means having a known set of fields for each record.  Semi-structured data is when there is no separation between the schema and the data. Features of Spark SQL: 1)Integration With Spark. Spark SQL queries are integrated with Spark programs.  2)Uniform Data Access.  3)Hive Compatibility.  4)Standard Connectivity.  5) Performance And Scalability.  6) User Defined Functions Components of Spark SQL: 1)Spark SQL Dataframes  There was no provision to handle structured data and there was no optimization engine when working with structured data. On the basis of attributes the developer had to optimize each RDD. Spark DataFrame is a distributed collection of data ordered into named columns. You might remember a table in relational database. Spark Dataf...